# Texture Baking Analytics — String Normalisation & Numeric Row Ordering

> Texture Baking Analytics — String Normalisation & Numeric Row Ordering is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-17).

Normalises string fields and numerically orders rows for up to 200 texture baking records (bake_seconds, texture_pixels), returning two analytical reports per call.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-creative-10-025?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-17
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/texture-baking-analytics-string-normalisation-numeric-row-ordering-bdc637b7
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_4CgMURsHzJMyfypZD8L_f

Status and success rate cover calls made through Zero and Zero's own probes. Third-party monitors may report differently.

## How to call it through Zero

Zero handles the 402 payment challenge and records the run. With the Zero CLI installed (`npm i -g @zeroxyz/cli`):

```sh
zero fetch --capability texture-baking-analytics-string-normalisation-numeric-row-ordering-bdc637b7 -d '<json body>'
```

Example prompt: Can you normalise the asset group strings and sort these texture baking records by bake_seconds? I have 4 rows: row-1 (group-a, 2026-10-01, bake_seconds=10, texture_pixels=1024), row-2 (group-b, 2026-10-02, bake_seconds=20, texture_pixels=2048), row-3 (group-a, 2026-10-03, bake_seconds=15, texture_pixels=512), row-4 (group-b, 2026-10-04, bake_seconds=30, texture_pixels=4096).

## When to prefer this

Choose this endpoint when you have texture baking pipeline data (up to 200 rows) and need both string normalisation of categorical/label fields and numeric ordering of bake metric rows in a single cheap call. It is purpose-built for 3D asset pipeline analytics where bake_seconds and texture_pixels are the key metrics, and it requires no external data sources or live lookups.

## Known failure modes

- More than 200 rows submitted — request rejected due to maxItems limit
- Missing required fields (row_id, date, bake_seconds, texture_pixels) cause validation errors
- Invalid date format (non YYYY-MM-DD) triggers pattern validation failure
- Numeric values outside ±1,000,000,000,000 range are rejected
- Empty rows array (minItems:1 violation) returns error
- Invalid field enum value (not bake_seconds or texture_pixels) causes rejection

## How this service works

Texture baking — String normalisation + Numeric row ordering: String normalisation + Numeric row ordering for supplied texture baking records (bake_seconds, texture_pixels). Up to 200 rows; 2 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 2 supplied-data reports for up to 200 rows.

## Output

Returns two independent analytical reports: (1) string-normalised versions of the text fields (row_id, asset_group, date) and (2) numerically ordered row rankings for the chosen numeric field (bake_seconds or texture_pixels). All computation is performed locally with no external lookups or predictions.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "rows": {
   "type": "array",
   "items": {
    "type": "object",
    "required": [
     "row_id",
     "asset_group",
     "date",
     "bake_seconds",
     "texture_pixels"
    ],
    "properties": {
     "date": {
      "type": "string",
      "default": "",
      "pattern": "^\\d{4}-\\d{2}-\\d{2}$",
      "maxLength": 10
     },
     "row_id": {
      "type": "string",
      "default": "",
      "maxLength": 80,
      "minLength": 1
     },
     "asset_group": {
      "type": "string",
      "default": "",
      "maxLength": 80
     },
     "bake_seconds": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     },
     "texture_pixels": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     }
    },
    "additionalProperties": false
   },
   "default": [
    {
     "date": "2026-10-01",
     "row_id": "row-1",
     "asset_group": "group-a",
     "bake_seconds": 10,
     "texture_pixels": 1
    },
    {
     "date": "2026-10-02",
     "row_id": "row-2",
     "asset_group": "group-b",
     "bake_seconds": 20,
     "texture_pixels": 2
    },
    {
     "date": "2026-10-03",
     "row_id": "row-3",
     "asset_group": "group-a",
     "bake_seconds": 15,
     "texture_pixels": 3
    },
    {
     "date": "2026-10-04",
     "row_id": "row-4",
     "asset_group": "group-b",
     "bake_seconds": 30,
     "texture_pixels": 4
    }
   ],
   "maxItems": 200,
   "minItems": 1
  },
  "field": {
   "enum": [
    "bake_seconds",
    "texture_pixels"
   ],
   "type": "string",
   "default": "bake_seconds"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/texture-baking-analytics-string-normalisation-numeric-row-ordering-bdc637b7/health.json
- [Zero catalog index](https://www.zero.xyz/llms.txt)
- [Other services from market.datapackvibe.com](https://www.zero.xyz/host/market.datapackvibe.com/llms.txt)